عنوان مقاله [English]
This research presents urban flood risk management through new management approaches including the implementation of penetration trenches, permanent containment reservoirs and permeable pavements in the surface water collection network. The multi-objective optimization model presented in this research is based on the multi-objective MOPSO algorithm that is combined with Surface Surface Simulation Modeling Software by SWMM software. The application of the proposed method has been described on a case study of the Surface Surface Network of Tehran 22nd District, which consists of four different scenarios; the first scenario examines the performance of new management methods for improving surface runoff quantity without using BMP, and second scenarios, Third, and fourth, BMPs including penetrating trenches, permanent containment tanks and permeable pavements, which were applied in six, four and two percent of the sub basins for the return period of two, five and ten years, were used respectively. Modeling results show that biological storage tanks are more capable of reducing peak courier than penetration trenches and permeable pavements. Also, with the increase of the return period, the impact of BMPs decreases, so that the biosecurity tanks are 10% more effective than penetration trenches and about 20% more than penetrating pavements in reducing peak cours. The goal of the optimization model is to reduce peak coursing, which results suggest that using the optimal combination of all three new approaches leads to a 51% to 54% reduction in peak versus the most effective BMP.